Usefulness of the neutrophil-to-lymphocyte ratio in predicting the severity of COVID-19 patients: a retrospective cohort study

Abstract

In December 2019, a novel coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in Wuhan, China, and it spread rapidly all over the world. 1 The World Health Organization (WHO) gave the name coronavirus disease-19 to the resultant disease and declared it to be an epidemic. 2 The first polymerase chain reaction (PCR)-positive COVID-19 case in Turkey was detected on March 11, 2020. 3 In some studies in the literature, it was reported that 14% of COVID-19 patients developed severe pneumonia, one in 20 patients had an intensive care unit (ICU) requirement and approximately 66% of critically ill patients died. [4][5][6] High mortality rates among critically ill patients and rapidly spreading disease raise concerns about ICU requirements, which may place pressure on healthcare system resources. 7 In order to make optimal treatment decisions, prognostic predictors of mortality among COVID-19 patients need to be identified in order to help assess the severity of the condition.Compared with the normal range, lower white blood cell (WBC) and lymphocyte counts but higher neutrophil counts have been found in COVID-19 patients. 8,9 In some recent studies, it has been reported that the neutrophil-to-lymphocyte ratio (NLR) is an independent prognostic factor for predicting outcomes of critical illness and in-hospital mortality among COVID-19 patients. 10,11 OBJECTIVEOur aim in this study was to determine the relationship between the prognosis and the NLR among COVID-19 patients.

The Neutrophil-to-Lymphocyte Ratio and the Platelet-to-Lymphocyte Ratio as Predictors of Mortality in Older Adults Hospitalized with COVID-19 in Peru

“…Limitations and Strengths. This study has limitations: (1) the study population corresponded only to older adults insured by EsSalud, who have particular sociodemographic characteristics, and does not represent all older Peruvian adults; however, EsSalud insures nearly a third of the Peruvian population [58]; (2) some of the variables included have missing values (as laboratory markers including neutrophils, lymphocytes, and platelets) because they were not measured at hospital admission; however, the adjusted regression model was developed considering only those with a percentage of missing values less than 20%; (3) we conducted this study with data collected during the first wave of COVID-19 in Peru, which could be relevant within the Peruvian context, in which not many articles have been published and these studies could help us better understand what happened during that pandemic period and be prepared for future pandemics; (4) this study was carried out during a prevaccine era; however, studies developed during the postvaccine distribution era described results similar to ours [59][60][61]; (5) among laboratory markers, some, which are considered relevant, such as cytokines, were not measured in this study; however, the variables most accessible and practical according to the literature were used. Despite these limitations, this study represents one of the first to evaluate the role of the NLR and the PLR as predictors of mortality in older adults with COVID-19 [12].…”

Comparison of C-reactive protein and C-reactive protein-to-albumin ratio in predicting mortality among geriatric coronavirus disease 2019 patients

“…Therefore, early risk prediction tools in ED admissions of geriatric patients have been an important research topic in the literature. The inflammatory reaction plays a significant role in the pathophysiology of COVID-19 19 . Therefore, inflammatory markers such as CRP have been studied as prognostic indicators of COVID-19 20 .…”

Influence of Co-morbidities During SARS-CoV-2 Infection in an Indian Population

“…It is an important element in the diagnosis of SARS-CoV-2(+) patients. Some studies indicate that its value correlates with the severe course of the disease and mortality ( 28 ). Apart from the assessment of inflammation, the NL Ratio is also used to analyse the course of other diseases, including cardiovascular diseases and cancer.…”